Panda 7B V0.1 AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:neuralnovel/panda-7... Base model:quantized:neuralnov...   Conversational Dataset:neuralnovel/creative-l... Dataset:neuralnovel/neural-sto...   Mistral   Quantized   Region:us   Safetensors

Panda 7B V0.1 AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Panda 7B V0.1 AWQ (TheBloke/Panda-7B-v0.1-AWQ)
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Panda 7B V0.1 AWQ Parameters and Internals

Model Type 
mistral
Use Cases 
Primary Use Cases:
Creative writing, Roleplay, Logical problem-solving
Limitations:
Unrelated scenarios to narrative and instructive text.
Additional Notes 
Fine-tuned to generate logical and narrative text with versatility and nuanced writing.
Training Details 
Data Sources:
NeuralNovel/Creative-Logic-Problem-Solver-v1, NeuralNovel/Neural-Story-v1
Methodology:
Fine-tuned to generate instructive and narrative text, optimizing for creative writing and problem-solving.
Hardware Used:
NVIDIA Tesla T40 24 GB
Input Output 
Input Format:
{prompt}
LLM NamePanda 7B V0.1 AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/Panda-7B-v0.1-AWQ 
Model NamePanda 7B V0.1
Model CreatorLee Jackson
Base Model(s)  NeuralNovel/Panda-7B-v0.1   NeuralNovel/Panda-7B-v0.1
Model Size7b
Required VRAM4.2 GB
Updated2025-09-23
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Panda-7B-v0.1-AWQ.

Rank the Panda 7B V0.1 AWQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124